Triple
T32220122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Temple of the Masks |
E823039
|
entity |
| Predicate | maskCountApproximate |
P173850
|
FINISHED |
| Object | multiple large masks |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: multiple large masks | Statement: [Temple of the Masks, maskCountApproximate, multiple large masks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maskCountApproximate Context triple: [Temple of the Masks, maskCountApproximate, multiple large masks]
-
A.
mineCountApproximate
Indicates that the number of mines associated with an entity is estimated or roughly counted rather than known exactly.
-
B.
lapCountApproximate
Indicates that the recorded number of laps is an estimate rather than an exact, precise count.
-
C.
junctionCountApprox
Indicates an approximate count of junctions or connection points involved in or associated with the given entities.
-
D.
prototypeCountApproximate
Indicates that the number of prototypes involved is an estimated or approximate count rather than an exact value.
-
E.
hasApproximateMemberCount
Indicates that an entity is associated with a group or collection for which only an estimated or non-exact number of members is known.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f3490b4f948190b99e4f999f5be25f |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bbc4129481909d12bf4d5723dd3b |
completed | May 3, 2026, 3:06 a.m. |
| PD | Predicate disambiguation | batch_69f6b6293188819080d5041ca0adb969 |
completed | May 3, 2026, 2:42 a.m. |
| PDg | Predicate description generation | batch_69f6b960ca4081909a77690c2b122f5e |
completed | May 3, 2026, 2:56 a.m. |
Created at: May 1, 2026, 12:38 a.m.